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Musical Source Separation: An Introduction [PDF]
IEEE Signal Processing Magazine, 2019 Many people listen to recorded music as part of their everyday lives, for example from radio or TV programmes, CDs, downloads or increasingly from online streaming services. Sometimes we might want to remix the balance within the music, perhaps to make the vocals louder or to suppress an unwanted sound, or we might want to upmix a 2-channel stereo ...
Estefanía Cano +4 more
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Few-Shot Musical Source Separation
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022 ICASSP ...
Yu Wang 0105 +3 more
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Meta-Learning Extractors for Music Source Separation [PDF]
ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020 Camera-ready version for ICASSP 2020; the source files are published at https://github.com/pfnet-research/meta ...
David Samuel +2 more
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Robust Auditory Functions Based on Probabilistic Integration of MUSIC and CGMM
IEEE Access, 2021 Sound source localization and separation are essential functions for robot audition to comprehend acoustic environments. The widely-used multiple signal classification (MUSIC) can precisely estimate the directions of arrival (DoAs) of multiple sound ...
Yoshiaki Bando +3 more
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Stripe-Transformer: deep stripe feature learning for music source separation
EURASIP Journal on Audio, Speech, and Music Processing, 2023 Music source separation (MSS) is to isolate musical instrument signals from the given music mixture. Stripes widely exist in music spectrograms, which potentially indicate high-level music information. For example, a vertical stripe indicates a drum time
Jiale Qian, Xinlu Liu, Yi Yu, Wei Li
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Explicit-memory multiresolution adaptive framework for speech and music separation
EURASIP Journal on Audio, Speech, and Music Processing, 2023 The human auditory system employs a number of principles to facilitate the selection of perceptually separated streams from a complex sound mixture. The brain leverages multi-scale redundant representations of the input and uses memory (or priors) to ...
Ashwin Bellur +2 more
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Music Source Separation With Deep Equilibrium Models
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022 5 pages, 4 figures, accepted for publication in IEEE ICASSP ...
Yuichiro Koyama +5 more
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, 2011 This is the author's accepted pre-print of the article, first published as G. Evangelista, S. Marchand, M. D. Plumbley and E. Vincent. Sound source separation. In U. Zölzer (ed.), DAFX: Digital Audio Effects, 2nd edition, Chapter 14, pp. 551-588.
S. Marchand +11 more
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Complexity, 2021 With the rapid growth of digital music today, due to the complexity of the music itself, the ambiguity of the definition of music category, and the limited understanding of the characteristics of human auditory perception, the research on topics related ...
Qin Yao, Zhencong Li, Wanzhi Ma
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Probabilistic Modeling Paradigms for Audio Source Separation [PDF]
, 2010 This is the author's final version of the article, first published as E. Vincent, M. G. Jafari, S. A. Abdallah, M. D. Plumbley, M. E. Davies. Probabilistic Modeling Paradigms for Audio Source Separation. In W.
Davies, ME +18 more
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